Associates spend hours opening PDFs one by one. PrivateDocs AI turns supported data-room files into a queryable local vault, with citations to retrieved source passages, without sending document content to a vendor AI cloud.
Alternatives replaced: ChatGPT Enterprise · Harvey AI · Spellbook · Lexis+ AI · CoCounsel
Chat with supported data-room files — NDAs, purchase agreements, and disclosure schedules — without sending document content to a third-party AI cloud.
Add supported files from the VDR export to the desktop app. PDFs and Word drafts are ingested locally; Advanced Parsing enables OCR for image-only PDFs.
Documents are embedded with an on-device model and stored in a local ChromaDB vault. Nothing is uploaded; the index lives on the associate's machine.
Query indemnity caps, carve-outs, defined terms, and cross-references across supported files. Answers may include citations to retrieved source passages.
Copy cited passages, draft callouts, and trace definitions back to the source file. Privileged work-product stays on hardware the firm controls.
Inference, embeddings, and vector search run on the user's machine. No vendor data path to audit.
Every response links back to the exact source paragraph or row, so verification never means re-reading the binder.
Retrieval pulls only the relevant chunks per query — your index can be terabytes, not pages, with no per-token billing.
Yes. The entire RAG pipeline — ingestion, embedding, vector storage, and LLM inference — runs on the user's machine. No document, chunk, or prompt is sent to PrivateDocs AI or any third-party server. That makes it suitable for attorney work-product, client-NDA-bound material, and privileged content that prohibits vendor cloud processing.
Answers can include citations that link back to retrieved source material. Clicking a citation helps associates verify a carve-out or defined term against the original file.
Yes. After setup and activation, core inference and vector search can run without an internet connection. OCR availability depends on the supported document path and parsing settings.
Not necessarily. Many firms run a cloud tool for non-sensitive research and PrivateDocs AI for confidential matters. The two are complementary — but the moment a document is covered by an NDA or privilege, PrivateDocs AI is the only option that keeps the content fully on-device.
$249 one-time license. No recurring fees. Document content stays local for AI processing.
Layer 10-Ks, earnings commentary, and CSV data extracts into one analytical surface — with Chinese walls intact.
Summarize longitudinal notes, policy manuals, and reference PDFs where PHI must stay inside approved systems — not in a consumer chat product.
Query experiment logs, regulatory submissions, and internal memos without publishing trade-secret drafts to a hosted cloud assistant.
Drop the client's data room, working files, and prior deliverables into a local vault — and ask cited questions without breaching the engagement letter.